DeepMind’s RecurrentGemma Pioneering Efficiency for Open Small Language Models

A Google DeepMind research team introduce RecurrentGemma, an open language model built on Google's innovative Griffin architecture, which reduces memory usage and facilitates efficient inference on lengthy sequences, thereby unlocking new possibilities for highly efficient small language models in environments where resources are limited.

ai architecture artificial intelligence deepmind deepmind research deep-neural-networks efficiency environments google google deepmind griffin inference language language model language models machine learning machine learning & data science memory ml research research team resources small small language models team technology usage